Kristofor D. Carlson

575 total citations
15 papers, 339 citations indexed

About

Kristofor D. Carlson is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Kristofor D. Carlson has authored 15 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Kristofor D. Carlson's work include Advanced Memory and Neural Computing (13 papers), Neural dynamics and brain function (11 papers) and Neural Networks and Reservoir Computing (6 papers). Kristofor D. Carlson is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neural dynamics and brain function (11 papers) and Neural Networks and Reservoir Computing (6 papers). Kristofor D. Carlson collaborates with scholars based in United States and Australia. Kristofor D. Carlson's co-authors include Jeffrey L. Krichmar, Nikil Dutt, Michael Beyeler, Conrad D. James, James B. Aimone, Jayram Moorkanikara Nageswaran, Craig M. Vineyard, Timothy J. Draelos, Nadine E. Miner and William Severa and has published in prestigious journals such as PLoS Computational Biology, Frontiers in Neuroscience and Journal of Computational Neuroscience.

In The Last Decade

Kristofor D. Carlson

15 papers receiving 328 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kristofor D. Carlson United States 8 202 193 122 89 28 15 339
Massimiliano Versace United States 10 192 1.0× 255 1.3× 121 1.0× 127 1.4× 21 0.8× 24 502
Shirin Dora United Kingdom 10 170 0.8× 226 1.2× 115 0.9× 45 0.5× 18 0.6× 32 339
Jiangrong Shen China 11 283 1.4× 240 1.2× 136 1.1× 47 0.5× 37 1.3× 30 384
David Rosenbluth United States 9 260 1.3× 125 0.6× 255 2.1× 57 0.6× 16 0.6× 17 413
Man Yao China 7 274 1.4× 175 0.9× 127 1.0× 37 0.4× 41 1.5× 15 366
Evangelos Stromatias United Kingdom 9 373 1.8× 228 1.2× 123 1.0× 131 1.5× 31 1.1× 12 407
Filip Ponulak Poland 4 316 1.6× 234 1.2× 172 1.4× 93 1.0× 17 0.6× 7 414
Guillaume Lajoie Canada 12 91 0.5× 239 1.2× 136 1.1× 75 0.8× 17 0.6× 28 360
Yuwei Cui United States 8 71 0.4× 261 1.4× 89 0.7× 112 1.3× 30 1.1× 9 372
David Kappel Germany 8 274 1.4× 264 1.4× 141 1.2× 130 1.5× 27 1.0× 21 433

Countries citing papers authored by Kristofor D. Carlson

Since Specialization
Citations

This map shows the geographic impact of Kristofor D. Carlson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kristofor D. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristofor D. Carlson more than expected).

Fields of papers citing papers by Kristofor D. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristofor D. Carlson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kristofor D. Carlson. The network helps show where Kristofor D. Carlson may publish in the future.

Co-authorship network of co-authors of Kristofor D. Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of Kristofor D. Carlson. A scholar is included among the top collaborators of Kristofor D. Carlson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kristofor D. Carlson. Kristofor D. Carlson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Carlson, Kristofor D., et al.. (2023). Bringing Touch to the Edge: A Neuromorphic Processing Approach For Event-Based Tactile Systems. UWA Profiles and Research Repository (University of Western Australia). 1–5. 2 indexed citations
2.
Carlson, Kristofor D., et al.. (2022). An energy-efficient AkidaNet for morphologically similar weeds and crops recognition at the Edge. 1–8. 1 indexed citations
3.
Beyeler, Michael, et al.. (2019). Neural correlates of sparse coding and dimensionality reduction. PLoS Computational Biology. 15(6). e1006908–e1006908. 63 indexed citations
4.
James, Conrad D., James B. Aimone, Nadine E. Miner, et al.. (2017). A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications. Biologically Inspired Cognitive Architectures. 19. 49–64. 73 indexed citations
5.
Smith, Michael R., Kristofor D. Carlson, Craig M. Vineyard, et al.. (2017). A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2421–2428. 6 indexed citations
6.
Draelos, Timothy J., Nadine E. Miner, Jonathan A. Cox, et al.. (2017). Neurogenesis deep learning: Extending deep networks to accommodate new classes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 526–533. 42 indexed citations
7.
Severa, William, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, & James B. Aimone. (2016). Spiking network algorithms for scientific computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 13 indexed citations
8.
Severa, William, Kristofor D. Carlson, Ojas Parekh, Craig M. Vineyard, & James B. Aimone. (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
9.
10.
Carlson, Kristofor D., Michael Beyeler, Nikil Dutt, & Jeffrey L. Krichmar. (2014). GPGPU accelerated simulation and parameter tuning for neuromorphic applications. 570–577. 6 indexed citations
11.
Carlson, Kristofor D., Jayram Moorkanikara Nageswaran, Nikil Dutt, & Jeffrey L. Krichmar. (2014). An efficient automated parameter tuning framework for spiking neural networks. Frontiers in Neuroscience. 8. 10–10. 46 indexed citations
12.
Carlson, Kristofor D., Jayram Moorkanikara Nageswaran, Nikil Dutt, & Jeffrey L. Krichmar. (2013). Design space exploration and parameter tuning for neuromorphic applications. 20. 2 indexed citations
13.
14.
Carlson, Kristofor D., Jayram Moorkanikara Nageswaran, Nikil Dutt, & Jeffrey L. Krichmar. (2013). Design space exploration and parameter tuning for neuromorphic applications. 1–2. 2 indexed citations
15.
Carlson, Kristofor D. & N. Giordano. (2010). Interplay of the magnitude and time-course of postsynaptic Ca2 +  concentration in producing spike timing-dependent plasticity. Journal of Computational Neuroscience. 30(3). 747–758. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Breakdown of academic impact, for papers by Massimiliano Versace Breakdown of academic impact, for papers by Shirin Dora Breakdown of academic impact, for papers by Jiangrong Shen Breakdown of academic impact, for papers by David Rosenbluth Breakdown of academic impact, for papers by Man Yao Breakdown of academic impact, for papers by Evangelos Stromatias Breakdown of academic impact, for papers by Filip Ponulak Breakdown of academic impact, for papers by Guillaume Lajoie Breakdown of academic impact, for papers by Yuwei Cui Breakdown of academic impact, for papers by David Kappel
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2026